Use this skill when the user wants to automate video editing, generate drafts, or manipulate media assets in JianYing Pro.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionjianying-editorExecute the skills CLI command in your project's root directory to begin installation:
Fetches jianying-editor from luoluoluo22/jianying-editor-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate jianying-editor. Access via /jianying-editor in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
21
total installs
21
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756
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Run in your terminal
21
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21
this week
756
stars
Use this skill when the user wants to automate video editing, generate drafts, or manipulate media assets in JianYing Pro.
Agent execution playbook: docs/agent-playbook.md
Minimal command SOP: docs/minimal-command-sop.md
Draft inspector CLI:
python <SKILL_ROOT>/scripts/draft_inspector.py list --limit 20
python <SKILL_ROOT>/scripts/draft_inspector.py summary --name "DraftName"
python <SKILL_ROOT>/scripts/draft_inspector.py show --name "DraftName" --kind content --json
For generic editing requests, always follow the "Quick Edit Runtime Template" and "Acceptance Checklist" in that playbook.
.py 脚本)必须存放在用户当前项目的根目录(或子目录,如 scripts/),以保持 Skill 库的纯净和可移植性。data/cloud_music_library.csv 中的相关曲目,或根据视频主题(如“科技”、“温暖”)进行关键词过滤。Illuminate - 科技感)”。Read the individual rule files for specific tasks and constraints:
rules/media.md + rules/audio-voice.md -> examples/cloud_video_music_tts_demo.pyrules/text.md + rules/audio-voice.md -> examples/cloud_video_music_tts_demo.pyrules/recording.md -> tools/recording/recorder.pyrules/core.md + rules/cli.md -> examples/robust_auto_export.pyrules/generative.md -> scripts/movie_commentary_builder.pyRefer to these for complete workflows:
Use these templates and scripts for complex tasks:
python <SKILL_ROOT>/scripts/asset_search.py "复古" -c filters
python <SKILL_ROOT>/scripts/movie_commentary_builder.py --video "video.mp4" --json "storyboard.json"
python <SKILL_ROOT>/scripts/sync_jy_assets.py
prompts/readme_to_tutorial.md{{README_CONTENT}} variablepython <SKILL_ROOT>/tools/recording/recorder.py
# Or apply zoom to existing video:
python <SKILL_ROOT>/scripts/jy_wrapper.py apply-zoom --name "Project" --video "v.mp4" --json "e.json"
python <SKILL_ROOT>/scripts/auto_exporter.py "DraftName" "output.mp4" --res 1080 --fps 60
# For SRT only:
python <SKILL_ROOT>/scripts/jy_wrapper.py export-srt --name "DraftName"
# 克隆模板生成新项目
python <SKILL_ROOT>/scripts/jy_wrapper.py clone --template "酒店模板" --name "客户A_副本"
python <SKILL_ROOT>/scripts/api_validator.py
import os
import sys
# 1. 环境初始化 (必须同步到脚本开头)
current_dir = os.path.dirname(os.path.abspath(__file__))
env_root = os.getenv("JY_SKILL_ROOT", "").strip()
# 探测 Skill 路径 (支持 Antigravity, Trae, Claude 等)
skill_root = next((p for p in [
env_root,
os.path.join(current_dir, ".agent", "skills", "jianying-editor"),
os.path.join(current_dir, ".trae", "skills", "jianying-editor"),
os.path.join(current_dir, ".claude", "skills", "jianying-editor"),
os.path.join(current_dir, "skills", "jianying-editor"),
os.path.abspath(".agent/skills/jianying-editor"),
os.path.abspath(".trae/skills/jianying-editor"),
os.path.abspath(".claude/skills/jianying-editor"),
os.path.dirname(current_dir) # 如果在 examples/ 目录下
] if p and os.path.exists(os.path.join(p, "scripts", "jy_wrapper.py"))), None)
if not skill_root: raise ImportError("Could not find jianying-editor skill root.")
sys.path.insert(0, os.path.join(skill_root, "scripts"))
from jy_wrapper import JyProject
if __name__ == "__main__":
project = JyProject("My Video Project")
assets_dir = os.path.join(skill_root, "assets")
# 2. 导入视频与配乐
project.add_media_safe(os.path.join(assets_dir, "video.mp4"), "0s")
project.add_media_safe(os.path.join(assets_dir, "audio.mp3"), "0s", track_name="Audio")
# 3. 添加带动画的标题
project.add_text_simple("剪映自动化开启", start_time="1s", duration="3s", anim_in="复古打字机")
project.save()
在初始化 JyProject 时,请务必根据主视频素材的比例设置分辨率。默认值为横屏 (1920x1080)。
禁止在 Skill 安装目录下创建你的业务剪辑脚本。
git pull 升级。业务代码混入会导致版本管理混乱。Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
jianying-editor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in jianying-editor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: jianying-editor is focused, and the summary matches what you get after install.
jianying-editor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
jianying-editor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in jianying-editor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in jianying-editor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
jianying-editor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
jianying-editor has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for jianying-editor matched our evaluation — installs cleanly and behaves as described in the markdown.
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